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Model Development Team Lead for Name List Screening (NLS) & Transaction Screening (TS) - Model Strats

at Deutsche Bank

Back to all Data Science / AI / ML jobs
Deutsche Bank logo
Industry not specified

Model Development Team Lead for Name List Screening (NLS) & Transaction Screening (TS) - Model Strats

at Deutsche Bank

Tech LeadNo visa sponsorshipData Science/AI/ML

Posted 18 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
London
Country
United Kingdom

**Model Development Team Lead (NLS & TS) - Model Strats (London)** Lead model development for Name List Screening (NLS) and Transaction Screening (TS) within Model Strats, part of Group Strategic Analytics (GSA). Manage team, support existing models, and build state-of-the-art (SOTA) models using Python, SQL, and cloud platforms. Drive model tuning, regulatory compliance, and cross-functional collaboration, ideally with 7+ years' experience in data science and financial risk models.

Model Development Team Lead for Name List Screening (NLS) & Transaction Screening (TS) - Model Strats

Job ID:R0431766 Full/Part-Time: Full-time
Regular/Temporary: Regular Listed: 2026-08-04
Location: London

Position Overview

Job Title Model Development Team Lead for Name List Screening (NLS) & Transaction Screening (TS) - Model Strats

Location London

Corporate Title Vice President

Group Strategic Analytics (GSA) is part of Group Chief Operation Office (GCOO) which acts as the bridge between the Bank’s businesses and infrastructure functions to help deliver the efficiency, control, and transformation goals of the Bank.

You will work within the wider GSA Control Strats team and lead model development across NS and TS. This includes supporting incumbent models and designing, building and deploying new state-of-the-art (SOTA) models. You will bring strong data science and modelling expertise, a delivery-focused mindset, and a structured, detail-oriented approach to solving complex tasks. You will also drive model tuning, contribute to regulatory and governance deliverables, and collaborate with cross-functional teams including Anti-Financial Crime, Operations and Technology.

You will work in a collaborative global team and focus on people development and career growth.

What we’ll offer you

A healthy, engaged and well-supported workforce are better equipped to do their best work and, more importantly, enjoy their lives inside and outside the workplace. That’s why we are committed to providing an environment with your development and wellbeing at its centre.

You can expect:

  • Hybrid Working - we understand that employee expectations and preferences are changing. We have implemented a model that enables eligible employees to work remotely for a part of their working time and reach a working pattern that works for them
  • Competitive salary and non-contributory pension
  • 30 days’ holiday plus bank holidays, with the option to purchase additional days
  • Life Assurance and Private Healthcare for you and your family
  • A range of flexible benefits including Retail Discounts, a Bike4Work scheme and Gym benefits
  • The opportunity to support a wide ranging CSR programme + 2 days’ volunteering leave per year

Your key responsibilities

  • Lead the model development team, setting priorities, standards and ways of working
  • Understand and own end-to-end delivery of new SOTA challenger models
  • Tuning and optimising strategies for incumbent models
  • Design and govern the use of Large Language Models (LLM)-as-judge approaches within alert handling processes (evaluation framework, quality controls, bias/robustness testing and auditability)
  • Document model logic, assumptions, limitations and test outcomes in line with Model Governance and validation standards
  • Partner together with stakeholders to respond to internal audit queries and manage remediation actions and findings

Your skills and experience

  • Advanced degree (Master’s or PhD) in a quantitative discipline (e.g., Mathematics, Physics, Engineering, Computer Science)
  • 7+ years’ experience developing analytical or machine learning models in financial services (ideally Anti-Financial Crime / Screening)
  • Experience building Natural Language Processing (NLP)/Machine Learning (ML)/Artificial Intelligence (AI) pipelines, including feature engineering, model training, evaluation and monitoring
  • Experience designing evaluation frameworks for LLM use cases (e.g., human-in-the-loop, calibration, guardrails, auditability)
  • Experience with hyperparameter tuning at scale and experimentation frameworks
  • Strong technical experience with SQL and Python; significant experience with Spark for large-scale data processing
  • Excellent interpersonal skills with demonstrable collaborative leadership capabilities (coaching, mentoring, guiding, delivery ownership and stakeholder engagement) and strong standards for documentation and controls in a regulated environment


How we’ll support you

  • Flexible working to assist you balance your personal priorities
  • A range of flexible benefits that you can tailor to suit your needs
  • We value diversity and as an equal opportunities’ employer, we make reasonable adjustments for those with a disability such as the provision of assistive equipment if required (e.g. screen readers, assistive hearing devices, adapted keyboards)

About us

Deutsche Bank is the leading German bank with strong European roots and a global network. Click here to see what we do.

Deutsche Bank in the UK is proud to be named in The Times Top 50 Employers for Gender Equality and has been awarded a Gold Award from Stonewall and named in their Top 100 Employers.

If you have a disability, health condition, or require any adjustments during the application process, we encourage you to contact our Adjustments Concierge on adjustmentsconcierge@db.com to discuss.

We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.
Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.
We welcome applications from all people and promote a positive, fair and inclusive work environment.

Model Development Team Lead for Name List Screening (NLS) & Transaction Screening (TS) - Model Strats

at Deutsche Bank

Back to all Data Science / AI / ML jobs
Deutsche Bank logo
Industry not specified

Model Development Team Lead for Name List Screening (NLS) & Transaction Screening (TS) - Model Strats

at Deutsche Bank

Tech LeadNo visa sponsorshipData Science/AI/ML

Posted 18 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
London
Country
United Kingdom

**Model Development Team Lead (NLS & TS) - Model Strats (London)** Lead model development for Name List Screening (NLS) and Transaction Screening (TS) within Model Strats, part of Group Strategic Analytics (GSA). Manage team, support existing models, and build state-of-the-art (SOTA) models using Python, SQL, and cloud platforms. Drive model tuning, regulatory compliance, and cross-functional collaboration, ideally with 7+ years' experience in data science and financial risk models.

Model Development Team Lead for Name List Screening (NLS) & Transaction Screening (TS) - Model Strats

Job ID:R0431766 Full/Part-Time: Full-time
Regular/Temporary: Regular Listed: 2026-08-04
Location: London

Position Overview

Job Title Model Development Team Lead for Name List Screening (NLS) & Transaction Screening (TS) - Model Strats

Location London

Corporate Title Vice President

Group Strategic Analytics (GSA) is part of Group Chief Operation Office (GCOO) which acts as the bridge between the Bank’s businesses and infrastructure functions to help deliver the efficiency, control, and transformation goals of the Bank.

You will work within the wider GSA Control Strats team and lead model development across NS and TS. This includes supporting incumbent models and designing, building and deploying new state-of-the-art (SOTA) models. You will bring strong data science and modelling expertise, a delivery-focused mindset, and a structured, detail-oriented approach to solving complex tasks. You will also drive model tuning, contribute to regulatory and governance deliverables, and collaborate with cross-functional teams including Anti-Financial Crime, Operations and Technology.

You will work in a collaborative global team and focus on people development and career growth.

What we’ll offer you

A healthy, engaged and well-supported workforce are better equipped to do their best work and, more importantly, enjoy their lives inside and outside the workplace. That’s why we are committed to providing an environment with your development and wellbeing at its centre.

You can expect:

  • Hybrid Working - we understand that employee expectations and preferences are changing. We have implemented a model that enables eligible employees to work remotely for a part of their working time and reach a working pattern that works for them
  • Competitive salary and non-contributory pension
  • 30 days’ holiday plus bank holidays, with the option to purchase additional days
  • Life Assurance and Private Healthcare for you and your family
  • A range of flexible benefits including Retail Discounts, a Bike4Work scheme and Gym benefits
  • The opportunity to support a wide ranging CSR programme + 2 days’ volunteering leave per year

Your key responsibilities

  • Lead the model development team, setting priorities, standards and ways of working
  • Understand and own end-to-end delivery of new SOTA challenger models
  • Tuning and optimising strategies for incumbent models
  • Design and govern the use of Large Language Models (LLM)-as-judge approaches within alert handling processes (evaluation framework, quality controls, bias/robustness testing and auditability)
  • Document model logic, assumptions, limitations and test outcomes in line with Model Governance and validation standards
  • Partner together with stakeholders to respond to internal audit queries and manage remediation actions and findings

Your skills and experience

  • Advanced degree (Master’s or PhD) in a quantitative discipline (e.g., Mathematics, Physics, Engineering, Computer Science)
  • 7+ years’ experience developing analytical or machine learning models in financial services (ideally Anti-Financial Crime / Screening)
  • Experience building Natural Language Processing (NLP)/Machine Learning (ML)/Artificial Intelligence (AI) pipelines, including feature engineering, model training, evaluation and monitoring
  • Experience designing evaluation frameworks for LLM use cases (e.g., human-in-the-loop, calibration, guardrails, auditability)
  • Experience with hyperparameter tuning at scale and experimentation frameworks
  • Strong technical experience with SQL and Python; significant experience with Spark for large-scale data processing
  • Excellent interpersonal skills with demonstrable collaborative leadership capabilities (coaching, mentoring, guiding, delivery ownership and stakeholder engagement) and strong standards for documentation and controls in a regulated environment


How we’ll support you

  • Flexible working to assist you balance your personal priorities
  • A range of flexible benefits that you can tailor to suit your needs
  • We value diversity and as an equal opportunities’ employer, we make reasonable adjustments for those with a disability such as the provision of assistive equipment if required (e.g. screen readers, assistive hearing devices, adapted keyboards)

About us

Deutsche Bank is the leading German bank with strong European roots and a global network. Click here to see what we do.

Deutsche Bank in the UK is proud to be named in The Times Top 50 Employers for Gender Equality and has been awarded a Gold Award from Stonewall and named in their Top 100 Employers.

If you have a disability, health condition, or require any adjustments during the application process, we encourage you to contact our Adjustments Concierge on adjustmentsconcierge@db.com to discuss.

We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.
Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.
We welcome applications from all people and promote a positive, fair and inclusive work environment.

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